1 to 25 of 54 Remote CDISC Jobs

Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent More ❯

Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent More ❯

Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent More ❯

Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent More ❯

Senior Backend Software Engineer (C# .NET Core) - Revolutionise Healthcare with REST API Design! Are you ready to make a monumental impact in the healthcare industry? We're looking for a Senior/Lead Backend Software Engineer with a strong focus More ❯

Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Experience in R Experience with industry data standards such as CDISC(ODM: CDASH, SDTM, ADaM), HL7 FHIR, OMOP(CDM) etc. Experience with digital clinical trials protocol and Unified Study Definition Model (USDM)Experience in data modelling Closing Date for Applications - July More ❯

/or clinical drug development process Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro Language Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you Global exposure Variety of therapeutic areas Collaborative and supportive team environment Access to cutting-edge and More ❯

will be doing: You’ll lead statistical programming projects, ensuring high-quality, on-time deliverables. This includes developing and validating SDTM and ADaM datasets, performing QC reviews, and ensuring CDISC compliance. You’ll resolve Pinnacle 21 validation issues, review TLFs for consistency, and contribute to regulatory submissions. You'll also create define.xml files, develop and maintain macros, and perform data … + Masters or PH.D in Statistics. 8 years’ experience in clinical trial statistical programming. Excellent knowledge of SAS essential with R advantageous. Good working knowledge of data structures e.g. CDISC, SDTM, ADaM, Comprehension of clinical data standards (CDISC), TLFs, and submission guidelines. What in it for you: The opportunity to be involved in a growing organisation. Enjoy a healthy work More ❯

will be doing: You’ll lead statistical programming projects, ensuring high-quality, on-time deliverables. This includes developing and validating SDTM and ADaM datasets, performing QC reviews, and ensuring CDISC compliance. You’ll resolve Pinnacle 21 validation issues, review TLFs for consistency, and contribute to regulatory submissions. You'll also create define.xml files, develop and maintain macros, and perform data … + Masters or PH.D in Statistics. 8 years’ experience in clinical trial statistical programming. Excellent knowledge of SAS essential with R advantageous. Good working knowledge of data structures e.g. CDISC, SDTM, ADaM, Comprehension of clinical data standards (CDISC), TLFs, and submission guidelines. What in it for you: The opportunity to be involved in a growing organisation. Enjoy a healthy work More ❯

level team. Review eCRF, discuss data structures and review activities, ensure project-level standardization which allows pooling and efficient CRT production. Comply with company, department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements, review, develop and influence programming specifications as part of the analysis plans (incl. CSPD and other project-level strategies). Provide and … programming deliverables as well as accuracy and reliability of statistical analysis results. Maintain up-to-date advanced knowledge of programming software (e.g. SAS) as well as industry requirements (e.g. CDISC SDTM/ADaM, eCTD, Define.xml), attend functional meetings and trainings. Establish successful working relationships on individual studies with external associates according to agreed contract and internal business guidance. Act as … deliverables, proven experience in development of advanced MACROs. Advanced experience in contributing to statistical analysis plans and/or constructing technical programming specifications. Advanced knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs. Good understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, study procedures). More ❯

Trial Team (CTT). Review eCRF, discuss data structures and participate in data review activities as member of the extended CTT. Comply with company, department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements at project-level, review and develop programming specifications as part of the analysis plans. Provide and implement statistical programming solutions; ensure knowledge … programming deliverables as well as accuracy and reliability of statistical analysis results. Maintain up-to-date advanced knowledge of programming software (e.g. SAS) as well as industry requirements (e.g. CDISC SDTM/ADaM, eCTD, Define.xml), attend functional meetings and trainings. Establish successful working relationship on individual studies with external associates according to agreed contract and internal business guidance As assigned … environment to develop and validate deliverables. Plus R. Advanced experience in contributing to statistical analysis plans and/or constructing technical programming specifications Good knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs Good understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, study procedures). More ❯

motivated and friendly team as Statistical Programmer (UK Remote) Your responsibilities You program and validate statistical analysis of clinical studies with SAS. You define and program analysis datasets and CDISC SDTM and ADaM datasets in SAS. You are responsible for the quality control of evaluations of clinical studies. You conduct all other programming activities needed during a clinical study. You … experience in programming activities of clinical studies. You have very good programming skills in SAS 9, experience in R would be a benefit. You have gained practical experience with CDISC SDTM and ADaM standards. You have a degree in medical documentation, mathematical biometrics, statistics, mathematics, computer science or a comparable qualification. You are communicative and carry out the required communication More ❯

/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro • Language • Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you • Global exposure • Variety of therapeutic areas • Collaborative and supportive team environment • Access to cutting-edge and More ❯

checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival) • Review of project management related More ❯

checks and data exploration (e.g. using frequencies, histograms) • Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice • Complete and review CDISC Validation tool reports • Ensure the appropriate standards are being applied and adhered to • Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival) • Review of project management related More ❯

and review study TFL shells Author and review dataset standards Perform data checks and exploration (e.g., frequencies, histograms) Program and QC datasets and TFLs in SAS following specifications Review CDISC Validation reports Ensure standards are adhered to Familiarise with basic statistical techniques (e.g., t-test, ANOVA, regression, survival analysis) Review project management documents Maintain study master files and audit-ready More ❯

SAPs, CRFs, CSRs) Author, review, and approve study TFL shells and dataset specifications Develop and validate SAS programs for datasets, TFLs, and macros Identify data issues and outliers Review CDISC Validation reports Resolve data and standards issues Stay updated on emerging standards Maintain SAS proficiency Ensure audit-ready documentation People Management Line management of statisticians and programmers Coach and mentor More ❯

documents such as protocols, SAPs, CRFs, CSRs Authoring, reviewing, and approving study TFL shells and dataset specifications Authoring, validating, and documenting SAS programs Identifying data issues and outliers Reviewing CDISC Validation reports Resolving data and standards issues Staying updated on emerging standards Maintaining proficiency in SAS Ensuring documentation is audit-ready People Management Line management of staff, overseeing performance Coaching More ❯

protocols, SAPs, CRFs, CSRs Author, review, and approve study TFL shells and dataset specifications Develop and validate SAS programs, ensuring good programming practices Identify data issues and outliers Review CDISC Validation reports Resolve data and standards issues or escalate as needed Stay updated on emerging standards and their impact Maintain SAS proficiency and study documentation People Management Line management of More ❯

study TFL shells and dataset specifications Develop, validate, and document SAS programs for datasets, TFLs, and macros, following good programming practices Identify data issues and outliers Review and approve CDISC Validation reports Resolve data and standards issues or escalate as needed Stay informed about emerging standards and their impact on trials Maintain proficiency in SAS and stay updated on developments More ❯

TFL shells and dataset specifications Author, validate, and document SAS programs for datasets, TFLs, and macros, following good programming practices Identify data issues and outliers Complete, review, and approve CDISC Validation reports Resolve or escalate data and standards issues as appropriate Stay informed about emerging standards and their impact on trials Maintain proficiency in SAS and stay updated on developments More ❯

study TFL shells and dataset specifications Create, validate, and document SAS programs for datasets, TFLs, and macros, following good programming practices Identify data issues and outliers Complete and review CDISC Validation reports Address data and standards issues appropriately Stay updated on emerging standards and their impact on trials Maintain proficiency in SAS and stay informed about developments Ensure study documents More ❯

CRFs, and CSRs Authoring, reviewing, and approving study TFL shells and dataset specifications Authoring, validating, and documenting SAS programs following good programming practices Identifying data issues and outliers Reviewing CDISC Validation reports Resolving data and standards issues or escalating as needed Staying updated on emerging standards and their impact on trials Maintaining SAS proficiency and awareness of developments Managing study More ❯

CSRs) Author, review, and approve study TFL shells and dataset specifications Develop, validate, and document SAS programs following good programming practices Identify data issues and outliers Review and approve CDISC Validation reports Resolve data and standards issues or escalate as needed Stay updated on emerging standards and their impact Maintain proficiency in SAS and stay informed of developments Ensure audit More ❯

and CSRs Author, review, and approve study TFL shells and dataset specifications Develop, validate, and document SAS programs for datasets, TFLs, and macros Identify data issues and outliers Review CDISC Validation tool reports Address data and standards issues appropriately Stay updated on emerging standards and their impact Maintain SAS proficiency and stay informed about developments Ensure audit readiness of study More ❯